Prediction of ultimate bearing capacity for rubberized concrete filled steel tube columns based on Tabular Variational Autoencoder method and Stacking ensemble strategy

The application of rubberized concrete filled steel tube (RuCFST) structures can facilitate the recycling of used tires, offering a sustainable solution. In recent years, data-driven machine learning (ML) algorithms have garnered significant attention from researchers in the engineering field. Howev...

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Veröffentlicht in:	Structures (Oxford) Jg. 70; S. 107667
Hauptverfasser:	Song, Zongming, Zhang, Chao, Lu, Yiyan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.12.2024
Schlagworte:	Ensemble learning Rubberized concrete filled steel tube columns Stacking Tabular variational autoencoder Ultimate bearing capacity Ultimate bearing capacity Tabular variational autoencoder Ensemble learning Stacking Rubberized concrete filled steel tube columns
ISSN:	2352-0124, 2352-0124
Online-Zugang:	Volltext
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